from sklearn.linear_model import LassoCV
from sklearn.datasets import make_regression
import numpy as np
'''
X, y = make_regression(noise=4, random_state=0)
print(len(X))
print(len(y))
reg = LassoCV(cv=5, random_state=0).fit(X, y)
x=reg.score(X, y)
print(x)

x=reg.predict(X[:1])

print(x)
'''
X=[]

y=[]
for i in range(0,100):
    for j in range(0,100):
        X.append([i,j])
        y.append(i)
    
reg = LassoCV(cv=5, random_state=0)
reg.fit(X[:],y[:])

